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The best way to prepare for an interview is to review the different types of possible interview questions you will be asked during an interview and practice responding to questions. An interview coaching system tries to simulate an interviewer to provide mock interview practice simulation sessions for the users. The traditional interview coaching systems provide some feedbacks, including facial preference,...
Due to the short length, diversity, openness and colloquialism characteristic of out-of-domain (OOD) utterances, dialogue act (DA) recognition for OOD utterances in restricted domain spoken dialogue system remains a great challenge. This paper tackles this problem by proposing an effective DA recognition method using hybrid convolutional neural network (CNN) and random forest (RF). CNN acts as a feature...
Annotating complicated noun phrases is a difficulty in semantic analysis. In this paper we investigate the annotation methods of noun phrases in Nombank, Chinese Nombank and Sinica Treebank trying to propose an annotation scheme based on semantic dependency graph for noun phrases.
This paper describes about the development and details of a linguistic resource, Sense Annotated Hindi Corpus. Word Sense Disambiguation (WSD) is an important task in Natural Language Processing. Sense annotated Hindi Corpus was developed for Lexical Sample WSD task for Hindi language. It consists of 60 polysemous Hindi nouns. The sense inventory for sense annotated Hindi corpus was derived from Hindi...
This study examines the challenging issues in the semantic annotation of the characteristics of verbal information of Mandarin Chinese. It proposes a frame-based constructional approach that aligns with linguistic premises in Frame Semantics, Construction Grammar and Cognitive Grammar. Given that semantic processing has a lot to do with human cognitive capacities, semantic transfer and profile on...
Semantic role labeling (SRL) is a task to assign semantic role labels to sentence elements. This paper describes the initial development of an Indonesian semantic role labeling system and its application to extract event information from Tweets. We compare two feature types when designing the SRL systems: Word-to-Word and Phrase-to-Phrase. Our experiments showed that the Word-to-Word feature approach...
Semantic Role Labels can be helpful in deriving action constructs for representing virtual actions from text. Action constructs are structure through which the virtual action from text can be generated easily. The proposed system aims to derive the action structure present in written instructions. This proposed framework describes two aspects of action representation from text; semantic annotation...
Traditional affective lexicons are mainly based on discrete classes, such as positive, happiness, sadness, which may limit its expressive power compared to the dimensional representation in which affective meanings are expressed through continuous numerical values on multiple dimensions, such as valence-arousal. Traditional methods for acquiring dimensional lexicons are mainly based on time-consuming...
Most previous studies on opinion mining have focused on sentiment classification and opinion extraction, little research has been done on mining the underlying reasons for opinions. In this paper, we propose a novel weakly-supervised semantic pattern matching method to explanatory segment extraction in Chinese product reviews. To this end, we first exploit chi-squares to compute lexical explanatoryness...
Attributes are the way we describe the world. A simple classification on attributes' object host or event host is not enough for explaining appearance of both object attributes and event attributes. Thus we propose a presentation and explanation for attributes which introduce single and group host criterion for object attributes and linguistic valence for event attributes. Especially, we argue that...
In this paper, we first discuss the thematic properties of the yu phrases in both active and passive contexts in Archaic Chinese. We argue that the function of the yu phrase is actually determined by the properties of the main verb and the so-called Agent in passives can be understood as other thematic roles. Second, we provide syntactic analysis of the yu passives. We assume that these yu passives...
The current study is to determine whether people mentally simulate the movement when they process fictive motion sentences in Mandarin Chinese (e.g., 小徑走入森林 xiăo jīng zŏu rù sēn lín “A trail goes to the forest”), which literally include no movement in a space but implicitly entail the motion in our conceptual system. We conducted a depiction task to instruct participants in drawing what they thought...
This paper introduces Aicyber's system for IALP 2016 shared task, the Dimensional Sentiment Analysis of Chinese Words. The system is an ensemble of several boosted one layer neural networks, each one is trained on a different type of Chinese word vector. Our best system mainly use position-based character-enhanced word embedding and FastText as word vectors and achieve Mean Absolute Error 0.577(1st)...
Influenced by the grammatical system of western languages, there are more and more syntactic structures in modern Chinese that can be translated into English attributive clauses. But for the great differences of the syntactic structures, parsing Chinese by western grammatical rules usually does not lead to satisfactory results, which will result in poor translation performance in complex syntactic...
With the improvement of China's international influence, more Chinese words are borrowed into English. To find out how popular Chinese borrowings in English, a questionnaire is conducted among English speakers (Chinese natives are excluded). Swaan's Q-value model is hereby employed to analyze the data. The result shows that Chinese borrowings in English vary in Q-value and the ones related to economy...
This paper discusses word of Haodai from the perspective of language information processing. The meaning and usages of Haodai are very complex in Mandarin. Its functions and usages in simple sentence and compound sentence have been carefully examined with explanation and appropriate examples.
At present, the application of Mongolian idioms is dwindling, and its national culture is disappearing gradually. Based on the current situation, the project will collect and organize idioms resources; use Microsoft's ASP.NET technology to develop a web platform to achieve its function modules on learning knowledge and question-answer system; and provide a convenient tool for idioms teaching and learning...
There are different opinions on the names and quantity of semantic roles. In order to analyze the deep meaning of human language, we did two parts of tasks based on Chinese Semantic Dependency Graph Bank, which is a corpus analyzed by semantic dependency graph (SDG). After calculating the frequency of each role, we normalized the roles' names and distinguished the differences between each other. There...
Patent documents involve many professional fields and include multiple paragraphs, which have brought great difficulties for patent machine translation. This paper presents a hybrid strategy for patent machine translation, which combines the template-based machine translation (TBMT), the semantic rule-based machine translation (RBMT) and the statistics-based machine translation (SMT). The TBMT and...
Chinese word segmentation plays an important role in Chinese text mining. It is the foundation of automatic relation extraction and identification in Chinese information processing. In this paper, we propose a method for Chinese word segmentation based on conditional random fields (CRF) with character clustering. For the character clustering, we firstly use the Skip-Gram model to obtain character...
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