This study describes the design of the NTNU system for the ScienceIE task at the SemEval 2017 workshop. We use self-defined feature templates and multiple conditional random fields with extracted features to identify keyphrases along with categorized labels and their relations from scientific publications. A total of 16 teams participated in evaluation scenario 1 (subtasks A, B, and C), with on...

In this paper, we propose a new sequential labeling scheme, double sequential labeling, that we apply it on Chinese parsing. The parser is built with conditional random field (CRF) sequential labeling models. One focuses on the beginning of a phrase and the phrase type, while the other focuses on the end of a phrase. Our system, CYUT, attended 2012 the second CIPS-SGHAN conference Bake-off Task...

This paper reports how to build a Chinese Grammatical Error Diagnosis system based on the conditional random fields (CRF). The system can find four types of grammatical errors in learners’ essays. The four types or errors are redundant words, missing words, bad word selection, and disorder words. Our system presents the best false positive rate in 2015 NLP-TEA-2 CGED shared task, and also the b...

In this paper, we focus on a particular task which consists in explaining the source and the target of sentiments expressed in social networks. We propose a method for French, which overcomes a fine syntactic parsing and successfully integrate the Conditional Random Field (CRF) method and a smart exploration of a very large lexical network. Quantitative and qualitative experiments were performe...

This paper explores methods for increasing performance of CRF models, with a particular concern for transfer learning. We consider in particular the transfer case from political news to hard-to-tag business news, and show the effectiveness of several methods, including a novel semi-supervised approach.

As the number of elderly people in our society increases, the need of assistive technologies in home becomes urgent. Existing techniques allow elderly people to be better assisted through monitoring what goes on in smart homes and inferring their activities from sensor data via a recognition model. However, there are various cases that existing models have difficulties in accommodating relation...

Modifying the articulatory parameters to raise the prominence of a segment of an utterance (hyperarticulating) is usually accompanied by a reduction of these parameters (hypoarticulation) for the neighboring segments. In this paper we investigate different approaches for the automatic labeling of the prominence of words. In particular, we investigate how the information in the sequence can be u...

The fuzziness of Chinese sentence boundary makes discourse analysis more challenging. Moreover, many articles posted on the Internet are even lack of punctuation marks. In this paper, we collect documents written by masters as a reference corpus and propose a model to label the punctuation marks for the given text. Conditional random field (CRF) models trained with the corpus determine the corr...

Student feedback is an essential part of the instructor student relationship. Traditionally student feedback is manually summarized by instructors, which is time consuming. Automatic student feedback summarization provides a potential solution to this. For summarizing student feedback, first, the opinion targets should be identified and extracted. In this context, opinion targets such as “lectu...

Let CRF S denote the category of S-colored rooted forests, and HCRFS denote its Ringel-Hall algebra as introduced in [6]. We construct a homomorphism from a K+ 0 (CRF S)–graded version of the Hopf algebra of noncommutative symmetric functions to HCRFS . Dualizing, we obtain a homomorphism from the Connes-Kreimer Hopf algebra to a K+ 0 (CRF S)–graded version of the algebra of quasisymmetric func...