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What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA
A probabilistic quasi-synchronous grammar, inspired by one proposed for machine translation, and parameterized by mixtures of a robust nonlexical syntax/alignment model with a(n optional) lexical-semantics-driven log-linear model is proposed.
Named Entity Recognition with Bilingual Constraints
A method is proposed that formulates the problem of exploring signals on unannotated bilingual text as a simple Integer Linear Program, which encourages entity tags to agree via bilingual constraints and can improve strong baselines for both Chinese and English.
Probabilistic Tree-Edit Models with Structured Latent Variables for Textual Entailment and Question Answering
This work captures the alignment by using a novel probabilistic model that models tree-edit operations on dependency parse trees and treats alignments as structured latent variables, and offers a principled framework for incorporating complex linguistic features.
A Fast, Accurate Deterministic Parser for Chinese
We present a novel classifier-based deterministic parser for Chinese constituency parsing. Our parser computes parse trees from bottom up in one pass, and uses classifiers to make shift-reduce…
A Dual-layer CRFs Based Joint Decoding Method for Cascaded Segmentation and Labeling Tasks
This work presents a method that performs joint decoding of separately trained Conditional Random Field (CRF) models, while guarding against violations of hard-constraints, on both segmentation and POS tagging tasks.
Joint Word Alignment and Bilingual Named Entity Recognition Using Dual Decomposition
A graphical model is presented that performs bilingual NER tagging jointly with word alignment, by combining two monolingual tagging models with two unidirectional alignment models, and a dual decomposition inference algorithm is designed to perform joint decoding over the combined alignment and NER output space.
Discriminative probabilistic models for passage based retrieval
This paper proposes two probabilistic models to formally model the evidence of a set of top ranked passages in a document and presents a combination approach to combine the ranked lists of document retrieval and passage-based retrieval.
Feature Noising for Log-Linear Structured Prediction
- Sida I. Wang, Mengqiu Wang, Stefan Wager, Percy Liang, Christopher D. Manning
- Computer ScienceEMNLP
This work reinterpreted noising as an explicit regularizer, and approximate it with a second-order formula that can be used during training without actually generating fake data, and shows how to apply this method to structured prediction using multinomial logistic regression and linear-chain CRFs.
Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning
This work proposes a new method that projects model expectations rather than labels, which facilities transfer of model uncertainty across language boundaries, and encode expectations as constraints and train a discriminative CRF model using Generalized Expectation Criteria.
A Survey of Answer Extraction Techniques in Factoid Question Answering
- Mengqiu Wang
- Computer Science
This paper surveys several different techniques for factoid question answering, which aims at accurately pin-pointing the exact answer in re trieved documents, from the perspective of the sources of information that each model uses, how they represent and extract these inform ation, and the model they use for combining multiple source of information.