Question Answering in Webclopedia

By Eduard H. Hovy, Laurie Gerber, Ulf Hermjakob, Michael Junk, Chin-Yew Lin. Text Retrieval Conference, 2000

319 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/f4f274ed8b7ebab735e15ed98bb396e4979a1f9c

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Citations in the corpus

Question classification with log-linear models (2006, background): “[2], plus 500 manually created questions for rare qtypes and 894 questions from TREC 8 and TREC 9.”
Review of "Mining the Web: discovering knowledge from hypertext data" by Soumen Chakrabati. Morgan Kaufman 2003. (2002, unknown): “(The diagram follows the Webclopedia [106] and the Mulder [127] systems.”
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study (2021, methodology): “To study the differences between adversarial and standard data, we perform a qualitative analysis, categorizing questions based on a taxonomy (Hovy et al., 2000).”
Web question answering: is more always better? (2002, background): “INTRODUCTION Question answering has recently received attention from the information retrieval, information extraction, machine learning, and natural language processing communities [1][3][19][20] The goal of a question answering system is to retrieve answers to questions rather than full…”
Open Domain Question Answering via Semantic Enrichment (2015, background): “, [22, 24]), systems like Mulder [26] and AskMSR [7] take a different path by leveraging the crowd knowledge from the Web.”
An Analysis of the AskMSR Question-Answering System (2002, background): “Most question-answering systems use hand-tuned weights that are often combined in an ad-hoc fashion into a final score for an answer hypothesis (Harabagiu et al., 2000; Hovy et al., 2000; Prager et al., 2000; Soubbotin & Soubbotin, 2001; Brill et. al., 2001).”
Natural language question answering: the view from here (2001, methodology): “See, for example, Clarke, Cormack, Kisman and Lynam (2001) who present and evaluate an algorithm for passage selection speci(cid:12)cally for question answering and Hovy et al. (2001) for some experiments with how far down a ranked segmentation list to proceed.”
Inferring Which Medical Treatments Work from Reports of Clinical Trials (2019, background): “The proposed task is situated at the intersection of information extraction (Cardie, 1997), natural language inference (Bowman et al., 2015), evidence mining (Rinott et al., 2015) and question answering (Harabagiu et al., 2000; Hovy et al., 2000).”