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Predicting the unemployment rate using social media analysis
We demonstrate how social media content can be used to predict the unemployment rate, a
real-world indicator. We present a novel method for predicting the unemployment rate using …
real-world indicator. We present a novel method for predicting the unemployment rate using …
Cross-domain generalization for AMR parsing
Meaning Representation (AMR) parsing aims to predict an AMR graph from textual input.
Recently, there has been notable growth in AMR parsing performance. However, most …
Recently, there has been notable growth in AMR parsing performance. However, most …
Domain adaptation of srl systems for biological processes
Abstract Domain adaptation remains one of the most challenging aspects in the wide-spread
use of Semantic Role Labeling (SRL) systems. Current state-of-the-art methods are typically …
use of Semantic Role Labeling (SRL) systems. Current state-of-the-art methods are typically …
Restricting answer candidates based on taxonomic relatedness of integrated lexical knowledge base in question answering
J Heo, HJ Lee, JH Wang, YJ Bae, HK Kim… - Etri Journal, 2017 - Wiley Online Library
This paper proposes an approach using taxonomic relatedness for answer‐type recognition
and type coercion in a question‐answering system. We introduce a question analysis …
and type coercion in a question‐answering system. We introduce a question analysis …
한국어 의미역 결정을 위한 Korean PropBank 확장 및 도메인 적응 기술 적용.
배장성， 이창기 - Korean Journal of Cognitive Science, 2015 - dbpia.co.kr
한국어 의미역 결정 (Semantic Role Labeling) 은 주로 기계학습에 의해 이루어지며많은
말뭉치 자원을 필요로 한다. 그러나 한국어 의미역 결정 시스템에 사용되는 Korean PropBank …
말뭉치 자원을 필요로 한다. 그러나 한국어 의미역 결정 시스템에 사용되는 Korean PropBank …
Extending korean propbank for korean semantic role labeling and applying domain adaptation technique
J Bae, J Oh, H Hwang, C Lee - Annual Conference on Human and …, 2014 - koreascience.kr
한국어 의미역 결정 (Semantic Role Labeling) 은 주로 기계 학습에 의해 이루어지며 많은
말뭉치 자원을 필요로 한다. 그러나 한국어 의미역 결정 시스템에서 사용되는 Korean …
말뭉치 자원을 필요로 한다. 그러나 한국어 의미역 결정 시스템에서 사용되는 Korean …
엑소브레인 한국어 분석 및 질의응답 기술의 개발 현황 및 고도화 계획
HG Kim, J Heo, SJ Im, HJ Lee… - Communications of the …, 2017 - koreascience.kr
현재 정보의 80% 는 자연어로 기술된 비정형 텍스트이며, 텍스트 빅데이터에서 '누가 먼저 많은
가치를 추출해내느냐'가 기업과 국가의 성패를 좌우하는 4 차 산업혁명시대가 도래하였다 …
가치를 추출해내느냐'가 기업과 국가의 성패를 좌우하는 4 차 산업혁명시대가 도래하였다 …
Extending Korean PropBank for Korean Semantic Role Labeling and Applying Domain Adaptation Technique
J Bae, C Lee - Korean Journal of Cognitive Science, 2015 - koreascience.kr
Korean semantic role labeling (SRL) is usually performed by a machine learning and
requires a lot of corpus. However, the Korean PropBank used in Korean SRL system is less …
requires a lot of corpus. However, the Korean PropBank used in Korean SRL system is less …
QAF: Frame Semantics-based Question Interpretation
Natural language questions are interpreted to a sequence of patterns to be matched with
instances of patterns in a knowledge base (KB) for answering. A natural language (NL) …
instances of patterns in a knowledge base (KB) for answering. A natural language (NL) …
Classifying biomedical literature providing protein function evidence
JH Lim, KC Lee - ETRI Journal, 2015 - Wiley Online Library
Because protein is a primary element responsible for biological or biochemical roles in living
bodies, protein function is the core and basis information for biomedical studies. However …
bodies, protein function is the core and basis information for biomedical studies. However …