Using Shallow Semantic Parsing and Relation Extraction for Finding Contradiction in Text

2013-10-01 · IJCNLP 2013 10 · Minh Quang Nhat Pham, Minh Le Nguyen, Akira Shimazu

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Tasks

Document Summarization Multi-Document Summarization Question AnsweringRelationRelation Extraction Semantic Parsing Semantic Role Labeling

Information Extraction from German Patient Records via Hybrid Parsing and Relation Extraction Strategies

2014-05-01 · LREC 2014 5 · Hans-Ulrich Krieger, Christian Spurk, Hans Uszkoreit, Feiyu Xu 외

In this paper, we report on first attempts and findings to analyzing German patient records, using a hybrid parsing architecture and a combination of two relation extraction strategies. On a practical level, we are inter…

Chunking Medical Diagnosis Morphological Analysis Named Entity Recognition (NER)+2

SPaR.txt, a cheap Shallow Parsing approach for Regulatory texts

2021-10-04 · EMNLP (NLLP) 2021 11 · Ruben Kruiper, Ioannis Konstas, Alasdair Gray, Farhad Sadeghineko 외

Automated Compliance Checking (ACC) systems aim to semantically parse building regulations to a set of rules. However, semantic parsing is known to be hard and requires large amounts of training data. The complexity of c…

Semantic Parsing

Question Answering on Freebase via Relation Extraction and Textual Evidence

2016-03-03 · ACL 2016 8 · Kun Xu, Siva Reddy, Yansong Feng, Songfang Huang 외

Existing knowledge-based question answering systems often rely on small annotated training data. While shallow methods like relation extraction are robust to data scarcity, they are less expressive than the deep meaning …

Question Answering Relation Relation Extraction Semantic Parsing

Developing Production-Level Conversational Interfaces with Shallow Semantic Parsing

2018-11-01 · EMNLP 2018 11 · Arushi Raghuvanshi, Lucien Carroll, Karthik Raghunathan

We demonstrate an end-to-end approach for building conversational interfaces from prototype to production that has proven to work well for a number of applications across diverse verticals. Our architecture improves on t…

Dialogue Management General Classification Intent Classification Management+3

An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Text

2020-11-01 · Findings of the Association for Computational Linguistics 2020 · Daivik Swarup, Ahsaas Bajaj, Sheshera Mysore, Tim O{'}Gorman 외

In specific domains, such as procedural scientific text, human labeled data for shallow semantic parsing is especially limited and expensive to create. Fortunately, such specific domains often use rather formulaic writin…

Relation Prediction Semantic Parsing Sentence