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Answer Extraction as Sequence Tagging with Tree Edit Distance
- Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark
- Computer ScienceNAACL
- 1 June 2013
A linear-chain Conditional Random Field based on pairs of questions and their possible answer sentences, learning the association between questions and answer types is constructed, casting answer extraction as an answer sequence tagging problem for the first time.
Information Extraction over Structured Data: Question Answering with Freebase
- Xuchen Yao, Benjamin Van Durme
- Computer ScienceACL
- 1 June 2014
It is shown that relatively modest information extraction techniques, when paired with a webscale corpus, can outperform these sophisticated approaches by roughly 34% relative gain.
A Lightweight and High Performance Monolingual Word Aligner
- Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark
- Computer ScienceACL
- 1 August 2013
A discriminatively trained monolingual word aligner that uses a Conditional Random Field to globally decode the best alignment with features drawn from source and target sentences to give state-of-the-art result.
Semi-Markov Phrase-Based Monolingual Alignment
- Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark
- Computer ScienceEMNLP
- 1 October 2013
We introduce a novel discriminative model for phrase-based monolingual alignment using a semi-Markov CRF. Our model achieves stateof-the-art alignment accuracy on two phrasebased alignment datasets…
GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10, 000 Hours of Transcribed Audio
- Guoguo Chen, Shuzhou Chai, Zhiyong Yan
- Computer ScienceInterspeech
- 13 June 2021
This paper introduces GigaSpeech, an evolving, multi-domain English speech recognition corpus with 10,000 hours of high quality labeled audio suitable for supervised training, and 33,000 hours of…
Lean Question Answering over Freebase from Scratch
- Xuchen Yao
- Computer ScienceNAACL
- 1 June 2015
This work designs efficient data structures to identify question topics organically from 46 million Freebase topic names, without employing any NLP processing tools, and presents a lean QA system that runs in real time.
Question Generation with Minimal Recursion Semantics
- Xuchen Yao
- Computer Science
- 2010
The performance of proposed method is compared against other syntax and rule based systems, and the result reveals the challenges of current research on question generation and indicates direction for future work.
Feature-driven Question Answering With Natural Language Alignment
- Xuchen Yao
- Computer Science
- 20 July 2014
This dissertation proposes the idea of feature-driven QA, a machine learning framework that automatically produces rich features from linguistic annotations of answer fragments and encodes them in compact log-linear models.
Freebase QA: Information Extraction or Semantic Parsing?
- Xuchen Yao, Jonathan Berant, Benjamin Van Durme
- Computer ScienceACL
- 1 June 2014
It is concluded that the differences between these technologies, both in task performance, and in how they get there, is not significant, and suggests that the semantic parsing community should target answering more compositional open-domain questions that are beyond the reach of more direct information extraction methods.
Expectations of Word Sense in Parallel Corpora
- Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch
- LinguisticsNAACL
- 3 June 2012
These assumptions are investigated by looking at sampled parallel sentences containing tokens of the same type in English, asking how often they mean the same thing when they are aligned to the same foreign type and aligned to different foreign types.
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