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Natural Language Processing

 

Mental Health as an NLP Problem

 

Xiaozhong Liu (School of Informatics, Computing, and Engineering; Indiana University, Bloomington)

Natural Language Processing and Text Mining with User Behavior Data

Cache Transition Systems for Semantic Parsing

Abstract: We describe a transition system that generalizes standard transition-based dependency parsing techniques to generate a graph rather than a tree.  Our system includes a cache with fixed size m, and we characterize the relationship between the parameter m and the class of graphs that can be produced through the graph-theoretic concept of tree decomposition.  We train a sequence-to-sequence neural model based on this system to parse text into Abstract Meaning Representation (AMR).

 

Assisting Interpreters with Technical Terms

Abstract: To assist simultaneous interpreters with their work, one needs to find a balance between providing useful information and minimizing distraction. This talk will discuss a simple method for detecting and translating technical terms and a crowdsourced experiment to determine whether the method strikes the right balance for interpreter assistance--without actually using interpreters.

 

Lunch served by 12:15. 

TitleA family of neural models for voice query understanding on an entertainment platform

Title: SCRIPTS: a System for Cross Language Information Processing,Translation and Summarization

Abstract: This presentation will give an overview of the research conducted by CLIP students and facuty to develop a System for Cross Language Information Processing, Translation and Summarization, as part of the IARPA MATERIAL program.

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