DeepAI AI Chat
Log In Sign Up

A Type-coherent, Expressive Representation as an Initial Step to Language Understanding

by   Gene Louis Kim, et al.

A growing interest in tasks involving language understanding by the NLP community has led to the need for effective semantic parsing and inference. Modern NLP systems use semantic representations that do not quite fulfill the nuanced needs for language understanding: adequately modeling language semantics, enabling general inferences, and being accurately recoverable. This document describes underspecified logical forms (ULF) for Episodic Logic (EL), which is an initial form for a semantic representation that balances these needs. ULFs fully resolve the semantic type structure while leaving issues such as quantifier scope, word sense, and anaphora unresolved; they provide a starting point for further resolution into EL, and enable certain structural inferences without further resolution. This document also presents preliminary results of creating a hand-annotated corpus of ULFs for the purpose of training a precise ULF parser, showing a three-person pairwise interannotator agreement of 0.88 on confident annotations. We hypothesize that a divide-and-conquer approach to semantic parsing starting with derivation of ULFs will lead to semantic analyses that do justice to subtle aspects of linguistic meaning, and will enable construction of more accurate semantic parsers.


Learning Executable Semantic Parsers for Natural Language Understanding

For building question answering systems and natural language interfaces,...

Practical Semantic Parsing for Spoken Language Understanding

Executable semantic parsing is the task of converting natural language u...

Evaluating Scoped Meaning Representations

Semantic parsing offers many opportunities to improve natural language u...

Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards

Coreference resolution and semantic role labeling are NLP tasks that cap...

Making the Implicit Explicit: Implicit Content as a First Class Citizen in NLP

Language is multifaceted. A given utterance can be re-expressed in equiv...

Can we Fix the Scope for Coreference? Problems and Solutions for Benchmarks beyond OntoNotes

Current work on automatic coreference resolution has focused on the Onto...