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task ID: documentretrieval

Related Papers

Language Modeling for Document Selection in Question Answering

Authors: nan

Publication: TIPSTER (2011)

DOI: nan

Usually, in the Question Answering do- main, for a question in natural language, precise answers to the question are ex- tracted from documents according only to the context of the …...

28883

Bridging the Gap between Intrinsic and Perceived Relevance in Snippet Generation

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

Snippet generation plays an important role in a search engine. Good snippets provide users a good indication on the main content of a search result related to the query and …...

6182

Evaluating Web-as-corpus Topical Document Retrieval with an Index of the OpenDirectory

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

AbstractThis article introduces a novel protocol and resource to evaluate Web-as-corpus topical document retrieval. To the contrary of previous work, our goal is to provide an automatic, reproducible and robust …...

15287

Reading Wikipedia to Answer Open-Domain Questions

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractThis paper proposes to tackle open-domain question answering using Wikipedia as the unique knowledge source: the answer to any factoid question is a text span in a Wikipedia article. This …...

36991

NAI-SEA at SemEval-2018 Task 5: An Event Search System

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractIn this paper, we describe Alibaba’s participating system in the semEval-2018 Task5: Counting Events and Participants in the Long Tail. We designed and implemented a pipeline system that consists of …...

26015

A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractAutomated fact-checking based on machine learning is a promising approach to identify false information distributed on the web. In order to achieve satisfactory performance, machine learning methods require a large …...

41702

AttentiveChecker: A Bi-Directional Attention Flow Mechanism for Fact Verification

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractThe recently released FEVER dataset provided benchmark results on a fact-checking task in which given a factual claim, the system must extract textual evidence (sets of sentences from Wikipedia pages) …...

22055

A Neural Model for Joint Document and Snippet Ranking in Question Answering for Large Document Collections

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractQuestion answering (QA) systems for large document collections typically use pipelines that (i) retrieve possibly relevant documents, (ii) re-rank them, (iii) rank paragraphs or other snippets of the top-ranked documents, …...

8510

Enhancing Document Ranking with Task-adaptive Training and Segmented Token Recovery Mechanism

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractIn this paper, we propose a new ranking model DR-BERT, which improves the Document Retrieval (DR) task by a task-adaptive training process and a Segmented Token Recovery Mechanism (STRM). In …...

31815

Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractRecently, the retrieval models based on dense representations have been gradually applied in the first stage of the document retrieval tasks, showing better performance than traditional sparse vector space models. …...

8333

Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractNeural keyphrase generation models have recently attracted much interest due to their ability to output absent keyphrases, that is, keyphrases that do not appear in the source text. In this …...

21549

Weakly Supervised Pre-Training for Multi-Hop Retriever

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

In multi-hop QA, answering complex ques- tions entails iterative document retrieval for finding the missing entity of the question. The main steps of this process are sub-question detection, document retrieval …...

34122

XOR QA: Cross-lingual Open-Retrieval Question Answering

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractMultilingual question answering tasks typically assume that answers exist in the same language as the question. Yet in practice, many languages face both information scarcity—where languages have few reference articles—and …...

21827

Automating Horizon Scanning in Future Studies

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractWe introduce document retrieval and comment generation tasks for automating horizon scanning. This is an important task in the field of futurology that collects sufficient information for predicting drastic societal …...

16533

TopiOCQA: Open-domain Conversational Question Answering with Topic Switching

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractIn a conversational question answering scenario, a questioner seeks to extract information about a topic through a series of interdependent questions and answers. As the conversation progresses, they may switch …...

26757