❏ Contegra Auto-Suggest Search
- Assigned to
-
Martin L.
- Notes
-
To-do created to track further progress on integrating Contegra Auto-Suggest search to Full Text Search and Subject Navigator Search.
Responding to your questions via Zoom: "Hey Morgan, my understanding is that Contegra is supposed to auto suggest a few options based on what the user is typing on SN and Full Text Search (similar to Dispute Documents tab). Am I right? I am testing on dev.islg and do not see any suggestions so far."
Yes, please do all the testing on dev.islg, and only in the Full Text Search. I suggest clearing your cache. This might help getting the search working. The team is still working on the Subject Navigator search.
Contegra Auto-Suggest is suppose to suggest terms for the user based on what the user inputs into the search field (similar to Dispute Documents tab). However, unlike the Dispute Documents tab, Contegra's suggested results are based on machine learning tools that are suppose to generate suggest search terms based on their relevancy to content being searched. For example, if you search "good faith", I would expect suggested search terms like "abuse or process" and "estoppel" to appear as suggested terms, because these concepts would appears in the same context as "good faith". However, we'll see how effective these tools are, and whether they provide useful suggestions to users.
Please report your findings here, so the team can follow and comment on the results.
Thanks,
Morgan
As Morgan suggested above, I searched "good faith" under Full Text Search on dev.islg, but I do not get any Contegra Auto-Suggest. I cleared cache before I conducted this search using normal Chrome.
https://dev.investorstatelawguide.com/ResearchTools/FullTextSearch?toc=content&id=97&tab=r
However, if I do the same search on dev.islg on Chrome incognito, I get several suggestions. Nevertheless, it is not suggesting expected topics mentioned above like "abuse of process" or "estoppel."
http://dev.investorstatelawguide.com/ResearchTools/FullTextSearch?toc=content&id=97&tab=r
Another example is searching "legitimate expectations." If Contegra "learned" the connection between legitimate expectations and fair and equitable treatment (they are closely related), I would expect one of the suggested terms/phrases to be "fair and equitable treatment" or "FET," but I do not see it in the example below. So far, it appears the Auto-Suggest is strictly based on terms typed in, not machine-learned connection.
http://dev.investorstatelawguide.com/ResearchTools/FullTextSearch?toc=content&id=97&tab=r
If the testing should be done differently, please let me know.
Thanks,
Paul
Thanks for the testing above. I'm not sure why it wasn't working without incognito enabled. I just ran a couple of tests, and it's working fine for me. However, I noticed some other issues that I'll need to take a closer look at when I'm back in the office.
Thanks,
Morgan
My apologies for the delayed response. This is on my task list for this morning.
Thanks!
Ryan
I'm seeing results when searching in Chrome normal mode, but noticed the following:
Thanks!
Ryan
Currently, we have set contegra auto suggestion only fresh full text search page. we have not integrated in result page.
If all will be Ok in fresh full text search page then will do same thing in result page.
If the URL you indicated above is the one you are testing on (live site), I believe testing should be done on dev.islg.
I am still having trouble getting results on normal Chrome on both desktop and laptop, but maybe it is my browser setting. Incognito mode, however, is working for me.
Another trouble that I am having is some suggested topics as shown below. The last suggestion reads "fair links er2 expert report." I suspect it may be picking up some formatting issues that are not visible on the live site. Also, when I try to type "Fair and Equitable Treatment," nothing shows up. Since Fair and Equitable Treatment is a major topic, I would expect Contegra to suggest it.
Re: relationship learning, it may be something that is not fully implemented yet, but Legitimate Expectations and Fair and Equitable Treatment are closely related topics that should be suggested (see the cross-reference in Subject Navigator below)
http://dev.investorstatelawguide.com/ResearchTools/SubjectNavigator?toc=content&id=50&kwList=27105,20913,&exList=,&search=&ci=20913&searchBranchLevel=#20913
Thanks,
Paul
Thanks for pointing that out - I've edited my post with the proper dev.islg URL. I was testing on dev as well, but had copied the wrong URL.
Ryan
Another trouble that I am having is some suggested topics as shown below. The last suggestion reads "fair links er2 expert report." I suspect it may be picking up some formatting issues that are not visible on the live site.
it is visible on the live site also see below image.
Also, when I try to type "Fair and Equitable Treatment," nothing shows up. Since Fair and Equitable Treatment is a major topic, I would expect Contegra to suggest it.
Contegra auto-suggest only displays a list of key phrases matching the letters entered in the search box, it will not display phrases are closely related topics. it is not like ML. In Contegra, Key phrases are selected using statistical algorithms and natural language processing technology that analyzes the content and identifies the most significant terms in each document and user will get result of suggestion display from those key phrases only.
second, I suggest user should type words rather than paste words in search box. I hope it will display result more meaning than copy/paste.
Thanks,
Jitesh
Ok, I see what you mean with "fair links er2 expert report." It does appear in one document on the live site, but since the auto suggest displays in all lower case letters, I thought it was an error ("fair links er2 expert report" appears on the PDF's abbreviations table in upper case letters as "FAIR LINKS ER 2 Expert Report on Damages of Fair Links of 23 May 2014").
Based on Morgan's first post, I thought Contegra would be "machine learned" beyond its actual capability, but clearly it is not. Yes, I have been typing terms and phrases, not copying/pasting.
Thanks,
Paul
Could you comment on a few observations summarized the following video:
Morgan
Based on user type in search box, suggestion list will be display otherwise it will terminates, means may be there is no Boolean words in the Contegra Index. I think we have already remove "noise" words from Dtsearch, Contegra index create based on dtsearch index.
User can type phases which he/she want to search if suggestion list not display than type phases and click on Search button, result will be display as per expectation. Auto suggest result are not in our hand, we are just display list from contegra based on search words, if user want result based on phases which you want like boolean operation than please type it and click on submit button. it will display result with boolean operator as well.
Please note, it will not display phrases are closely related topics. it is not like ML.
Yes, we have updated same in dev.islg.
Thanks,
Jitesh
Continuing the threads above:
Do you know how the suggested searches are ordered? Is there a way to change their order so that they correspond to the relative number of hits in the dtSearch index? That way the suggested searches with most results are most likely to appear at the top of the list.
Ok. Sounds good. Hopefully there are some options here. At the very least, hopefully they can explain how suggested searches are currently ordered.
Based on user type in search box, suggestion list will be display otherwise it will terminates, means may be there is no Boolean words in the Contegra Index. I think we have already remove "noise" words from Dtsearch, Contegra index create based on dtsearch index.
User can type phases which he/she want to search if suggestion list not display than type phases and click on Search button, result will be display as per expectation. Auto suggest result are not in our hand, we are just display list from contegra based on search words, if user want result based on phases which you want like boolean operation than please type it and click on submit button. it will display result with boolean operator as well.
Please note, it will not display phrases are closely related topics. it is not like ML.
Understood. I suppose this is just a limitation of the search. Please confirm that "noise" words are not excluded from the dtSearch and Contegra indexes.
Ok. Given that the Contegra index is generated from the dtSearch index, it's odd that the suggest search doesn't show up in the results. Perhaps you could add this issue to your query when you contact Contegra.
Yes, we have updated same in dev.islg.
Looks good.
Looks good.
Thanks,
Morgan
Any updates on the items above.
Thanks,
Morgan
Yesterday, contegra plan reset now We are focusing on Contegra working in the SQL database for the Subject Navigator.
Thanks,
Jitesh
Also, I asked you to confirm whether the "noise" terms are included in the dtSearch and Contegra indexes.
Thanks,
Morgan
we have integrate contegra on Subject Navigator search also, please check it on dev site and let me know your feedback.
For "noise" terms, currently it is excluded in dtsearch so first we need to generate dtsearch index with "noise" terms, so can we do this excise on dev site? please let me know.
Thanks,
Jitesh
Why are we excluding "noise" terms for the dtSearch index. I thought we fixed this problem a long-time ago? This is something Greg raise recently. Let's ensure all "noise" terms are included in the index (assuming this doesn't create any problem with daily index process).
I performed some testing on the Subject Navigator search, and the suggested searches do not correspond with the text of the branches in the Subject Navigator. Can you confirm that the Contegra index is getting populated by the SQL database index concerning the branch text? See video below.
Thanks,
Morgan
There was an issue with Contegra Indexing which we resolved on dev.islg. Now, The suggest search is corresponding with the text of branches in Subject Navigator tool. Please check and confirm.
At last, Greg requested to remove "noise" words from TLG dtsearch index.
I have also forward email chain for removing noise words conversation.
Thanks,
Jitesh
In the email above, Greg requested that the noise words be deleted from the "noise words" file, which effectively includes the noise words in the dtSearch index. This ensures that dtSearch can differentiate between a search for "the cause" and "a cause" because "the" and "a" are included in the index. I believe the dtSearch index within ISLG has been setup this way. Could you confirm?
Could you also confirm that the same settings have been applied to the Contegra index (i.e., the noise words are deleted from the "noise words" file, and that terms like "the" and "a" are include in the index)?
Thanks,
Morgan
Contegra seems to be working on the Subject Navigator, and it's actually working pretty well.
Morgan
Further to the screenshot below, I noticed that Contegra is only picking up strings where the characters entered into the search field match the first word of the phrase. However, with the term "favourable", I would expect things like "most favourable" and "less favourable" to appear in the suggested searches. Is there anything in the way Contegra is setup that is preventing it from suggesting searches where the relevant characters appear in the second or third word of the phrases?
Thanks,
Morgan
I get the same result as Morgan. I do not get any hit when I search for "faith" (trying to see if "good faith" shows up) on dev.islg.
Thanks,
Paul
Yes, Your finding is right. We have pass Infix parameter with search term and its work as per your expectation.
Please check it and give your feedback.
Thanks,
Jitesh
I tested "Fair" on Subject Navigator hoping to see "Fair and Equitable Treatment" as one of the suggestions (it is a large branch that you can see if you click on "F" once). However, as shown below, it is not one of the suggestions. The closest suggestion seems to be "breach of fair equitable treatment." I attach two screenshots to be comprehensive on what results I get from Contegra. Is Contegra sweeping through only the text of each entry as opposed to each branch title?
Please let me know.
Thanks,
Paul
Yes,
Thanks,
Morgan
Jitesh, is it possible for you to make changes to ensure these Boolean operator words get included in suggested searches?
Yes, but we need to include "noise" words in dtsearch than and than it will be available in contegra as dtsearch is a source of contegra index. so first we need to include "noise" words in dtsearch after will generate contegra index than it will be available in suggested searches.
currently dtsearch configuration removed "noise" word so indexes generated without "noise" words, Second if you want to include "noise" words in dtsearch indexes than it will be also include both site ISLG live and dev because there is dtsearch configuration use for both site; as dtsearch is common for all site in signal server. Please let me know can we include "noise" words in dtsearch?
Thanks,
Jitesh
Are you saying that noise words are currently excluded from the dtSearch index? I'm confused by this, because we should have already been including noise words in the index. This is what Greg and I requested for TLG and ISLG during the email exchange above.
Also, the Full Text Search appears to be including noise words in the index. For example, performing searches for "a claim" and "to claim" produce different sets of results (see video below). If noise words were being excluded from the index, these searches would have overlapping results because the search would disregards the terms "a" and "to" as noise words. Could you please carefully explain how the current index is setup?
Thanks,
Morgan
But I am sure about "and" is not in noise word that's why not available in dtsearch. Let know tomorrow. Thanks
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Yes, assuming including all the noise words will not have a detrimental impact on search speeds, we want to remove all noise words similar to TLG.
Thanks,
Morgan
I have checked both TLG and ISLG dtsearch removed "noise" words.
Thanks,
Jitesh
We're clearly not communicating clearly on this issue. We need to ensure that ISLG and TLG are including noise words in their indexes to ensure dtSearch is capable of differentiating between a search for "a claim" and "to claim".
In addition, we need to ensure the noise words and Boolean operators like "and", "not" and "or" are included in the Contegra Auto-Suggest search, and that including these terms in the search field does not interrupt of disable the auto-suggest functions.
Morgan
Sorry for inconvenience, we are looking into it. I will let you know solution as per your expectation because currently we are facing issue to generate Contegra Index same as we getting early because might be reach quota of plan.
Thanks,
Jitesh
Thanks,
Morgan
Are you available tomorrow morning at 10am EDT for a call? I'd just like to review the search issues with you and ensure we're all on the same page for the expected behaviour.
Thanks!
Ryan
If possible then make a call at 9:00 AM EDT today. otherwise we are available at 10:00 AM EDT.
Yes , we have restored "noise" words for the dtsearch index on ISLG and TLG.
Thanks,
Jitesh
9am is good for me. Talk to you soon.
Ryan
how we can connect? can you please share goto meeting link or other way to connect?
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From yesterday, We are not able to generate contegra indexes due to quota of plan reach, it showing "unauthorized" error. we have already asked to Radomir about this error in past, he has told us it shows when quota of plan reach.
So currently, dtsearch index included "noise" words and contegra index is old one due to currently not able to generate contegra Index because of quota of plan reach.
Thanks,
Jitesh
I just ran a text on the Full Text Search, and the index is still excluding noise words. For example, I search for "a expropriation", and it produced results for "the expropriation", "to expropriation", "on expropriation", "direct expropriation", etc. This indicates that the search is disregarding "a" from the search and replacing it any random word. If we're including noise words in the dtSearch index, it should only produce results for "a expropriation".
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In addition, the search is running extremely slowly. It took over a minute to load the results above. Please ensure this is resolved.
Thanks,
Morgan
Understood, re the Contegra index. Did you have a discussion with
Morgan
It sounds like this has been resolved, but the indexing isn't able to run until the plan resets which is why we're still seeing the same issue.
Ryan
Lastly, I've become aware that dtSearch has the capability of ranking results by relevancy (currently it is setup only to rank results by frequency). Are you aware of the capability, and the possibility of introducing this as an option for users to rank results in the Full Text Search?
Thanks,
Morgan
Does this mean entering "and", "or" and "not" in the search fields will still produce auto-suggest results, but no matches will be produced because the Contegra index currently excludes these terms?
Morgan
"a expropriation", and it produced results for "the expropriation", "to expropriation", "on expropriation", "direct expropriation", etc.
Yesterday, We have included all noise words in DtSearch Indexing. Due to that reason, The DTsearch produced results like "the expropriation", "to expropriation" etc.
Today we have again removed the noise words from DTsearch Indexing and now you can check the result in FTS tool.
One more point to that If we include all noise words in DTsearch then it is taking some time to populate the result.
Following, I have attached all noise words list. Please check and let us know which word you need to put as noise words.
Are you aware of the capability, and the possibility of introducing this as an option for users to rank results in the Full Text Search?
No Morgan, We didn't explore the dtsearch tool because it was already in functional condition so we have just created index so We don't have idea about the ranking functionality.
Thanks,
Jitesh
Understood. The FTS is working as expected now, but there's still a problem with the Subject Navigator search: https://www.investorstatelawguide.com/ResearchTools/SubjectNavigator?toc=content&id=50&tab=r&search=a+expropriation&searchType=boolean&stem=1&thes=&ftypo=1&fuzziness=1
Also, if you haven't done so already, please ensure the same changes are made to TLG (BTW: we shouldn't have made any change to TLG without Greg's explicit authorization).
I think there is confusion on what is meant by "included". When I say I want the noise words include in the dtSearch, I mean that I want to ensure the noise words are included in the main index for the search so that the searched keyword always matches the words in the documents (even if a noise word is used). I believe this means deleting everything from the "noise words" file on dtSearch. Please ensure this is done across all the indexes on both ISLG and TLG.
Thanks,
Morgan
I'm having discussions with Rob Wiesenberg from Contegra about bringing them on-board to help with this process (and other ways to improve how we use search engines across the system). I'll let you and the rest of the team know as things develop.
Thanks,
Morgan
The Subject Navigator's noise word issue has resolved on www.islg. Due to some confusion, I think we will discuss this thing on Thursday's call.
I'll send an agenda out concerning the call on Thursday later today, but I would like to bring the discussion back to the issue concerning the use of Boolean operator terms "and", "not" and "or", and how those are interfering with the auto-suggest search.
Thanks,
Morgan
Could you please give us some more information on how we're hitting the limits of our free Contegra/Watson?
Are we running the Contegra index daily at this point, or is it another limit we're hitting? If we're running this frequently do we need to run it as often?
Thanks!
Ryan
We are generating contegra index based on dtsearch index and it is big size of dtsearch index so it was reach qouta of current plan. There is limited size conversion provide by current plan and we have big size if we are convert from small size than it will give many time to generate but dtsearch index is big one so it will reach single time.
We are not hitting daily, as of now single/two time it will reach quota of current plan in month. You can also find free plan information from contegra IBM Watson website.
I will provide more information from my desk. Thanks.
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My understanding is that our quota is being limited by IBM Watson, rather than dtSearch. We are currently operating on the free plan (see screenshot below), which provides for 30,000 NLU items per month. Approximately how many NLU items is required to perform a Contegra index on each for the following:
Morgan
Yes, quota is being limited by IBM Watson, but dtsearch index is source for IBM Watson (contegra) , so it is related to NLU because if big size of dtsearch index than it will use more NLU to read characters of dtsearch indexes to create Contegra Index.
We will talk more about this in tomorrow call.
Thanks,
Jitesh
Now that IBM Watson quota has reset, could we perform an index update for the auto-suggest to see if the fixes above implemented.
Thanks,
Morgan
We have regenerate contegra indexes, You can check with your cases and give your feedback.
Thanks,
Jitesh
As we discussed this morning, please ensure the indexes and fixes for the Subject Navigator are implemented on dev.islg as well, and then we'll follow-up with contegra about the issues we discussed concerning Boolean operators.
Thanks,
Morgan
Could you confirm whether the indexes and fixes where implemented on the Subject Navigator for dev.islg.
Thanks,
Morgan
We have also regenerated contegra indexs for Subject Navigator on dev.islg.
Please check and provide your feedback.
Thanks,
Jitesh
I've run a few tests and the noise words inclusion seems to be working after the index for me on dev.islg.
Thanks!
Ryan
Yes, the noise words seems to be included now. However, there appears to be a problem with the indexing that prevents the systems from including phrases like "Fair and Equitable Treatment". Further to the discussion during the team call last Thursday,
At the same, the auto-suggest search developed by the Machine Learning team is showing promise, so we may be able to use this for auto-suggest as an alternative.
We'll revisit this issue in the weeks ahead.
Thanks,
Morgan