Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Ravi Kondadadi"'
Publikováno v:
Proceedings of The Fifth Workshop on e-Commerce and NLP (ECNLP 5).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8e058c7e42f9a47a3fb483fc40ad339
https://doi.org/10.18653/v1/2022.ecnlp-1.4
https://doi.org/10.18653/v1/2022.ecnlp-1.4
Publikováno v:
BioNLP@NAACL-HLT
This paper describes experiments undertaken and their results as part of the BioNLP MEDIQA 2021 challenge. We participated in Task 3: Radiology Report Summarization. Multiple runs were submitted for evaluation, from solutions leveraging transfer lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44efe77b611cc543bc101504c3718f8e
https://doi.org/10.18653/v1/2021.bionlp-1.32
https://doi.org/10.18653/v1/2021.bionlp-1.32
Publikováno v:
Polibits. 45:13-19
Relational data is often encoded in tables. Tables are easy to read by humans, but difficult to interpret automatically. In cases where table layout cues are not obtainable (missing HTML tags) or where columns are distorted (by copying from a spreads
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60a4627aba9648f8e85206090b27b6e6
https://doi.org/10.17562/pb-45-2
https://doi.org/10.17562/pb-45-2
Autor:
Marc Light, Arun Vachher, Ramdev Wudali, Sriharsha Veeramachaneni, Ravi Kondadadi, Christopher C. Dozier
Publikováno v:
Semantic Processing of Legal Texts ISBN: 9783642128363
Semantic Processing of Legal Texts
Semantic Processing of Legal Texts
Named entities in text are persons, places, companies, etc. that are explicitly mentioned in text using proper nouns. The process of finding named entities in a text and classifying them to a semantic type, is called named entity recognition. Resolut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a57438162ff6591db4763e0f0cb5b13a
https://doi.org/10.1007/978-3-642-12837-0_2
https://doi.org/10.1007/978-3-642-12837-0_2
Autor:
Ravi Kondadadi, Frank Schilder
Publikováno v:
ICSC
This paper introduces a new metric for automatically evaluation summaries called ContextChain. Based on an in-depth analysis of the TAC 2008 update summarization results, we show that previous automatic metrics such as ROUGE-2 and BE cannot reliably
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78d5ee219ebfab92572f5488d9cca874
https://doi.org/10.1109/icsc.2009.100
https://doi.org/10.1109/icsc.2009.100
Publikováno v:
ICAIL
We present the first report of automatic sentiment summarization in the legal domain. This work is based on processing a set of legal questions with a system consisting of a semi-automatic Web blog search module and FastSum, a fully automatic extract
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f89c5e35d44073aa69ad52338e01c6e
https://doi.org/10.1145/1568234.1568253
https://doi.org/10.1145/1568234.1568253
Publikováno v:
Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing - SemiSupLearn '09.
We consider the task of learning a classifier from the feature space X to the set of classes Y = {0, 1}, when the features can be partitioned into class-conditionally independent feature sets X1 and X2. We show that the class-conditional independence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::392de4d3066e83b927fe93eea282afbd
https://doi.org/10.3115/1621829.1621831
https://doi.org/10.3115/1621829.1621831
Autor:
Ravi Kondadadi, Frank Schilder
Publikováno v:
ACL (Short Papers)
We present a fast query-based multi-document summarizer called FastSum based solely on word-frequency features of clusters, documents and topics. Summary sentences are ranked by a regression SVM. The summarizer does not use any expensive NLP techniqu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2cb1569c03647fcc6a2fa189a822d1c
https://doi.org/10.3115/1557690.1557748
https://doi.org/10.3115/1557690.1557748
Publikováno v:
ICAIL
Medical terms occur across a wide variety of legal, medical, and news corpora. Documents containing these terms are of particular interest to legal professionals operating in such fields as medical malpractice, personal injury, and product liability.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18a9fedd817648f9935fec7350966f94
https://doi.org/10.1145/1276318.1276367
https://doi.org/10.1145/1276318.1276367
Autor:
King-Ip Lin, Ravi Kondadadi
Publikováno v:
DASFAA
Document clustering is an important tool for applications such as Web search engines. Clustering documents enables the user to have a good overall view of the information contained in the documents that he has. However, existing algorithms suffer fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cb2aa28ccbd8034fef22c0bd1a84576
https://doi.org/10.1109/dasfaa.2001.916362
https://doi.org/10.1109/dasfaa.2001.916362