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Article
Alleviating repetitive tokens in non-autoregressive machine translation with unlikelihood training
In recent years, significant progress has been made in the field of non-autoregressive machine translations. However, the accuracy of non-autoregressive models still lags behind their autoregressive counterpar...
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Chapter and Conference Paper
Dependency-Type Weighted Graph Convolutional Network on End-to-End Aspect-Based Sentiment Analysis
Previous studies consider little on using dependency-type messages in the E2E-ABSA task. Studies using dependency-type messages just contact the dependency-type message and word embedding vectors, which may no...
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Chapter and Conference Paper
Interest Aware Dual-Channel Graph Contrastive Learning for Session-Based Recommendation
The key issue of session-based recommendation (SBR) is how to efficiently predict the next interaction item based on the item sequence of anonymous users. In order to mine the complex multivariate relationship...
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Chapter and Conference Paper
Augmenting Context Representation with Triggers Knowledge for Relation Extraction
Relation Extraction (RE) requires the model to classify the correct relation from a set of relation candidates given the corresponding sentence and two entities. Recent work mainly studies how to utilize more ...
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Article
Enhanced encoder for non-autoregressive machine translation
Non-autoregressive machine translation aims to speed up the decoding procedure by discarding the autoregressive model and generating the target words independently. Because non-autoregressive machine translati...
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Chapter and Conference Paper
Improving Non-autoregressive Machine Translation with Soft-Masking
In recent years, non-autoregressive machine translation has achieved great success due to its promising inference speedup. Non-autoregressive machine translation reduces the decoding latency by generating the ...
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Chapter and Conference Paper
Weighted Aggregator for the Open-World Knowledge Graph Completion
Open-world knowledge graph completion aims to find a set of missing triples through entity description, where entities can be either in or out of the graph. However, when aggregating entity description’s word ...
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Chapter and Conference Paper
Combining External Sentiment Knowledge for Emotion Cause Detection
Emotion cause detection (ECD) that aims to extract the trigger event of a certain emotion explicitly expressed in text has become a hot topic in natural language processing. However, the performance of existi...
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Chapter and Conference Paper
Assembling Chinese-Mongolian Speech Corpus via Crowdsourcing
Chinese-Mongolian Speech Corpus (CMSC) is utilized in many practical applications in recent years, and it is a kind of low-resource corpus due to its high-cost construction. We describe a crowdsourcing method...
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Chapter and Conference Paper
Tibetan Syllable-Based Functional Chunk Boundary Identification
Tibetan syntactic functional chunk parsing is aimed at identifying syntactic constituents of Tibetan sentences. In this paper, based on the Tibetan syntactic functional chunk description system, we propose a m...
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Chapter and Conference Paper
Utilizing Crowdsourcing for the Construction of Chinese-Mongolian Speech Corpus with Evaluation Mechanism
Crowdsourcing has been used recently as an alternative to traditional costly annotation by many natural language processing groups. In this paper, we explore the use of Wechat Official Account Platform (WOAP) ...
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Chapter and Conference Paper
Identifying Suspected Cybermob on Tieba
This paper describes an approach to identify suspected cybermob on social media. Many researches involve making predictions of group emotion on Internet (such as quantifying sentiment polarity), but this paper...
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Chapter and Conference Paper
Chinese Text Analysis Based on Minimal Recursion Semantics
Minimal Recursion Semantics (MRS) is a framework for computational semantics that is suitable for parsing and generation. To represent Chinese texts using MRS, we built a lexicon with the rich semantic knowled...
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Chapter and Conference Paper
A Method of Polarity Computation of Chinese Sentiment Words Based on Gaussian Distribution
Internet has become an excellent source for gathering consumer reviews, while opinion of consumer reviews expressed in sentiment words. However, due to the fuzziness of Chinese word itself, the sentiment judgm...
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Chapter and Conference Paper
Named Entity Recognition Based on Bilingual Co-training
Named entity recognition (NER) is a very important task in natural language processing (NLP). In this paper we present a semi-supervised approach to extract bilingual named entity, starting from a bilingual co...
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Chapter and Conference Paper
Arc Interpolation Control of Numerical Control Machine Tools and Its Realization Based on Multi-axis Motion Control Card
In order to deduce the algorithm of arc interpolation control of numerical control machine tools and realize its visualization control, the paper studied the interpolation principle and edited the procedure of...