Zobrazeno 1 - 10
of 45
pro vyhledávání: '"KONOPNICKI, DAVID"'
Autor:
Chouliaras, Georgios Christos, Kiełczewski, Kornel, Beka, Amit, Konopnicki, David, Bernardi, Lucas
In the last few years, the Machine Learning (ML) and Artificial Intelligence community has developed an increasing interest in Software Engineering (SE) for ML Systems leading to a proliferation of best practices, rules, and guidelines aiming at impr
Externí odkaz:
http://arxiv.org/abs/2306.13662
We deal with the scenario of conversational search, where user queries are under-specified or ambiguous. This calls for a mixed-initiative setup. User-asks (queries) and system-answers, as well as system-asks (clarification questions) and user respon
Externí odkaz:
http://arxiv.org/abs/2112.07308
Autor:
Feigenblat, Guy, Gunasekara, Chulaka, Sznajder, Benjamin, Joshi, Sachindra, Konopnicki, David, Aharonov, Ranit
Publikováno v:
Findings of the Association for Computational Linguistics: EMNLP (2021) 245--260
In a typical customer service chat scenario, customers contact a support center to ask for help or raise complaints, and human agents try to solve the issues. In most cases, at the end of the conversation, agents are asked to write a short summary em
Externí odkaz:
http://arxiv.org/abs/2111.11894
Autor:
Boni, Odellia, Feigenblat, Guy, Lev, Guy, Shmueli-Scheuer, Michal, Sznajder, Benjamin, Konopnicki, David
We present HowSumm, a novel large-scale dataset for the task of query-focused multi-document summarization (qMDS), which targets the use-case of generating actionable instructions from a set of sources. This use-case is different from the use-cases c
Externí odkaz:
http://arxiv.org/abs/2110.03179
Autor:
Gunasekara, Chulaka, Feigenblat, Guy, Sznajder, Benjamin, Joshi, Sachindra, Konopnicki, David
Many conversation datasets have been constructed in the recent years using crowdsourcing. However, the data collection process can be time consuming and presents many challenges to ensure data quality. Since language generation has improved immensely
Externí odkaz:
http://arxiv.org/abs/2106.03337
Autor:
Ganhotra, Jatin, Roitman, Haggai, Cohen, Doron, Mills, Nathaniel, Gunasekara, Chulaka, Mass, Yosi, Joshi, Sachindra, Lastras, Luis, Konopnicki, David
A frequent pattern in customer care conversations is the agents responding with appropriate webpage URLs that address users' needs. We study the task of predicting the documents that customer care agents can use to facilitate users' needs. We also in
Externí odkaz:
http://arxiv.org/abs/2010.02305
Frequently Asked Questions (FAQ) webpages are created by organizations for their users. FAQs are used in several scenarios, e.g., to answer user questions. On the other hand, the content of FAQs is affected by user questions by definition. In order t
Externí odkaz:
http://arxiv.org/abs/2009.01460
Researchers and students face an explosion of newly published papers which may be relevant to their work. This led to a trend of sharing human summaries of scientific papers. We analyze the summaries shared in one of these platforms Shortscience.org.
Externí odkaz:
http://arxiv.org/abs/2002.03604
Autor:
Erera, Shai, Shmueli-Scheuer, Michal, Feigenblat, Guy, Nakash, Ora Peled, Boni, Odellia, Roitman, Haggai, Cohen, Doron, Weiner, Bar, Mass, Yosi, Rivlin, Or, Lev, Guy, Jerbi, Achiya, Herzig, Jonathan, Hou, Yufang, Jochim, Charles, Gleize, Martin, Bonin, Francesca, Konopnicki, David
We present a novel system providing summaries for Computer Science publications. Through a qualitative user study, we identified the most valuable scenarios for discovery, exploration and understanding of scientific documents. Based on these findings
Externí odkaz:
http://arxiv.org/abs/1908.11152
Autor:
Sznajder, Benjamin, Gera, Ariel, Bilu, Yonatan, Sheinwald, Dafna, Rabinovich, Ella, Aharonov, Ranit, Konopnicki, David, Slonim, Noam
With the growing interest in social applications of Natural Language Processing and Computational Argumentation, a natural question is how controversial a given concept is. Prior works relied on Wikipedia's metadata and on content analysis of the art
Externí odkaz:
http://arxiv.org/abs/1908.07491