Multi-turn conversation understanding is a major challenge for building intelligent dialogue
systems. This work focuses on retrieval-based response matching for multi-turn conversation …

Head-driven phrase structure grammar (HPSG) enjoys a uniform formalism representing rich
contextual syntactic and even semantic meanings. This paper makes the first attempt to …

Currently the unified semantic role labeling (SRL) that achieves predicate identification and
argument role labeling in an end-to-end manner has received growing interests. Recent …

This paper presents a sequence to sequence (seq2seq) dependency parser by directly
predicting the relative position of head for each given word, which therefore results in a truly …

We present a simple and accurate span-based model for semantic role labeling (SRL). Our
model directly takes into account all possible argument spans and scores them for each …

In this paper, we present a Linguistic Informed Multi-Task BERT (LIMIT-BERT) for learning
language representations across multiple linguistic tasks by Multi-Task Learning (MTL) …

Semantic role labeling (SRL) aims to discover the predicateargument structure of a
sentence. End-to-end SRL without syntactic input has received great attention. However …

Abstract Open Information Extraction (Open IE) is a challenging task especially due to its
brittle data basis. Most of Open IE systems have to be trained on automatically built corpus …

We present VerbAtlas, a new, hand-crafted lexical-semantic resource whose goal is to bring
together all verbal synsets from WordNet into semantically-coherent frames. The frames …

While cross-lingual techniques are finding increasing success in a wide range of Natural
Language Processing tasks, their application to Semantic Role Labeling (SRL) has been …