Skip to search formSkip to main contentSkip to account menu
  • Publications
  • Influence
Answer Extraction as Sequence Tagging with Tree Edit Distance
TLDR
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.
View on ACL
Information Extraction over Structured Data: Question Answering with Freebase
TLDR
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.
View on ACL
A Lightweight and High Performance Monolingual Word Aligner
TLDR
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.
View on ACL
Semi-Markov Phrase-Based Monolingual Alignment
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…
View on ACL
Question Generation with Minimal Recursion Semantics
TLDR
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.
GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10, 000 Hours of Transcribed Audio
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…
View PDF on arXiv
Lean Question Answering over Freebase from Scratch
TLDR
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.
View on ACL
Feature-driven Question Answering With Natural Language Alignment
TLDR
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?
TLDR
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.
View on ACL
Expectations of Word Sense in Parallel Corpora
TLDR
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.
View on ACL
...
...
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License