Predicate Argument Structure

The Penn Treebank has recently implemented a new syn- tactic annotation scheme, designed to highlight aspects of predicate-argument structure. This paper discusses the implementation of crucial aspects of this new …...

In relatively free word order languages, grammat- ical functions are intricately related to case mark- ing. Assuming an ordered representation of the predicate-argument structure, this work proposes a Combinatory Categorial …...

Several approaches have been described for the automatic unsupervised acquisi- tion of patterns for information extraction. Each approach is based on a particular model for the patterns to be acquired, …...

This paper discusses the application of the Expectation-Maximization (EM) clustering algorithm to the task of Chinese verb sense discrimination. The model utilized rich linguistic features that capture predicate- argument structure …...

AbstractMany natural language processing tasks, including information extraction, question answering and recognizing textual entailment, require analysis of the polarity, focus of polarity, tense, aspect, mood and source of the event …...

AbstractWe are in the process of creating a multi-representational and multi-layered treebank for Hindi/Urdu (Palmer et al., 2009), which has three main layers: dependency structure, predicate-argument structure (PropBank), and phrase …...

Once released, treebanks tend to remain unchanged despite any shortcomings in their depth of linguistic analysis or cover- age of specific phenomena. Instead, sepa- rate resources are created to address …...

Generating coherent discourse is an important aspect in natural language generation. Our aim is to learn factors that constitute coherent discourse from data, with a focus on how to re- …...

Event anaphora resolution plays a critical role in discourse analysis. This paper focuses on improving event pronoun resolution using both local and global semantic information. In particular, a predicate-argument structure …...

We present a novel scheme of language modeling for a spoken dialogue system by effectively filtering query sentences collected via a Web site of wisdom of crowds. Our goal is …...

Machine translation aims to generate a target sentence that is semantically equivalent to the source sentence. However, most of current statistical machine translation models do not model the semantics of …...

AbstractWe introduce a new approach to semantics which combines the benefits of distributional and formal logical semantics. Distributional models have been successful in modelling the meanings of content words, but …...

Predicate-argument structure (PAS) has been demonstrated to be very effective in improving SMT performance. However, since a source- side PAS might correspond to multiple differ- ent target-side PASs, there usually …...

Incorporating semantic structure into linguistics-free translation model is chal-a lenging, since semantic structures are closely tied to syntax. In this paper, we propose a two-level approach to exploiting predicate-argument structure …...

Parsing full-fledged predicate-argument struc- tures in a deep syntax framework requires graphs to be predicted. Using the DeepBank (Flickinger et al., 2012) and the Predicate- Argument Structure treebank (Miyao and …...

We propose a novel pipeline for translation into morphologically rich languages which consists of two steps: initially, the source string is enriched with target morphological features and then fed into …...

Recognizing Text Entailment (RTE) plays an important role in NLP applications in- cluding question answering, information retrieval, etc. In recent work, some re- search explore “deep” expressions such as discourse …...

AbstractCapturing interactions among multiple predicate-argument structures (PASs) is a crucial issue in the task of analyzing PAS in Japanese. In this paper, we propose new Japanese PAS analysis models that …...

AbstractWriters often rely on plans or sketches to write long stories, but most current language models generate word by word from left to right. We explore coarse-to-fine models for creating …...

AbstractRecent models achieve promising results in visually grounded dialogues. However, existing datasets often contain undesirable biases and lack sophisticated linguistic analyses, which make it difficult to understand how well current …...

AbstractThanks to the effectiveness and wide availability of modern pretrained language models (PLMs), recently proposed approaches have achieved remarkable results in dependency- and span-based, multilingual and cross-lingual Semantic Role Labeling …...