Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Dipasree Pal"'
Publikováno v:
ACM SIGIR Forum. 55:1-7
This report describes the workshop on Supporting and Understanding of (multi-party) conversational Dialogues (SUD) organized as a part of the Web Search and Data Mining conference (WSDM) 2021. The aim of SUD workshop was to encourage researchers to i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4115379fe8d4271a0dd6dcb3b0ebf436
https://doi.org/10.1145/3476415.3476420
https://doi.org/10.1145/3476415.3476420
Autor:
Debasis Ganguly, Dipasree Pal
Publikováno v:
ICTIR
Proactively retrieving relevant information to contextualize conversations has potential applications in better understanding the conversational content between communicating parties. Since in contrast to traditional IR, there is no explicitly formul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89cc99e8d050278b02132ca909b6e9bb
https://doi.org/10.1145/3471158.3472237
https://doi.org/10.1145/3471158.3472237
Publikováno v:
WSDM
The workshop on Supporting and Understanding of (multi-party) conversational Dialogues (SUD) seeks to encourage researchers to investigate automated methods to analyze and understand conversations, and also explore methodologies for proactively provi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd9b75027ac5373facc3d48d7b379537
https://doi.org/10.1145/3437963.3441839
https://doi.org/10.1145/3437963.3441839
Publikováno v:
FIRE
This paper describes an overview of the track - ’Retrieval from Conversational Dialogues’ (RCD) organized as a part of Forum of Information Retrieval and Evaluation (FIRE), 2020. The motivation of the track is to develop a dataset towards a contr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2399e865debc21a6402d9ae108964f70
https://doi.org/10.1145/3441501.3441518
https://doi.org/10.1145/3441501.3441518
Publikováno v:
Second Workshop on Women in Data Science.
Good term selection is an important issue for an automatic query expansion (AQE) technique. AQE techniques that select expansion terms from the target corpus usually do so in one of two ways. Distribution based term selection compares the distributio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a5de1e5a4cc38e4da7bcba2f309f468
https://doi.org/10.18122/winds/2/boisestate
https://doi.org/10.18122/winds/2/boisestate
Publikováno v:
ACM Transactions on Asian Language Information Processing. 13:1-22
Automatic query expansion (AQE) is a useful technique for enhancing the effectiveness of information retrieval systems. In this article, we propose a novel AQE algorithm which first adopts a systematic incremental approach to choose feedback document
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37765dacf5b17399e641b4936fe1c8b2
https://doi.org/10.1145/2611521
https://doi.org/10.1145/2611521
Publikováno v:
Journal of the Association for Information Science and Technology. 65:2469-2478
This study proposes a new way of using WordNet for query expansion (QE). We choose candidate expansion terms from a set of pseudo-relevant documents; however, the usefulness of these terms is measured based on their definitions provided in a hand-cra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73ace86a1a48b76694135e80c513a0f1
https://doi.org/10.1002/asi.23143
https://doi.org/10.1002/asi.23143
Publikováno v:
ACM Transactions on Information Systems. 31:1-29
Stemming is a widely used technique in information retrieval systems to address the vocabulary mismatch problem arising out of morphological phenomena. The major shortcoming of the commonly used stemmers is that they accept the morphological variants
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80a7f5f2df50d5f4c7064dcd2f9003dd
https://doi.org/10.1145/2536736.2536738
https://doi.org/10.1145/2536736.2536738
Autor:
Deboshree Modak, Sucharita Sanyal, Dipasree Pal, Mandar Mitra, Sukomal Pal, Samaresh Maiti, Ayan Bandyopadhyay, Prasenjit Majumder
Publikováno v:
ACM Transactions on Asian Language Information Processing. 9:1-24
The aim of the Forum for Information Retrieval Evaluation (FIRE) is to create an evaluation framework in the spirit of TREC (Text REtrieval Conference), CLEF (Cross-Language Evaluation Forum), and NTCIR (NII Test Collection for IR Systems), for India
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4555e46d2918484e2446e78d82be2b21
https://doi.org/10.1145/1838745.1838747
https://doi.org/10.1145/1838745.1838747
Publikováno v:
ICTIR
In an earlier analysis of Pseudo Relevance Feedback (PRF) models by Clinchant and Gaussier (2013), five desirable properties that PRF models should satisfy were formalised. Also, modifications to two PRF models were proposed in order to improve compl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91979d22f2c6a33b4f3ad68f6f07e670
https://doi.org/10.1145/2808194.2809494
https://doi.org/10.1145/2808194.2809494