Hyungjong Noh

Pohang University of Science and Technology | POSTECH · Department of Computer Science and Engineering

One of the challenges of developing a summarization model arises from the difficulty in measuring the factual inconsistency of the generated text. In this study, we reinterpret the decoder overconfidence-regularizing objective suggested in (Miao et al., 2021) as a hallucination risk measurement to better estimate the quality of generated summaries....

Recent neural sequence-to-sequence models with a copy mechanism have achieved remarkable progress in various text generation tasks. These models addressed out-of-vocabulary problems and facilitated the generation of rare words. However, the identification of the word which needs to be copied is difficult, as observed by prior copy models, which suf...

In this paper, we propose a language generation model for the world of ambient intelligence (AmI). Various devices in use today are connected to the Internet and are used to provide a considerable amount of information. Because language is the most effective way for humans to communicate with one another, one approach to controlling AmI devices is...

Attention networks, a deep neural network architecture inspired by humans' attention mechanism, have seen significant success in image captioning, machine translation, and many other applications. Recently, they have been further evolved into an advanced approach called multi-head self-attention networks, which can encode a set of input vectors, e....

Machine comprehension question answering, which finds an answer to the question given a passage, involves high-level reasoning processes of understanding and tracking the relevant contents across various semantic units such as words, phrases, and sentences in a document. This paper proposes the novel question-aware sentence gating networks that dir...

This paper describes a method of ASR (automatic speech recognition) engine independent error correction for a dialog system. The proposed method can correct ASR errors only with a text corpus which is used for training of the target dialog system, and it means that the method is independent of the ASR engine. We evaluated our method on two test cor...

This study introduces an example-based chat-oriented dialogue system with personalization framework using long-term memory. Previous representative chat-bots use simple keyword and pattern matching methodologies. To maintain the quality of systems, generating numerous heuristic rules with human labour is inevitable. The language expert knowledge is...

This study examines the dialog-based language learning game (DB-LLG) realized in a 3D environment built with game contents. We designed the DB-LLG to communicate with users who can conduct interactive conversations with game characters in various immersive environments. From the pilot test, we found that several technologies were identified as esse...

Disclosed is an apparatus and method for processing documents to extract expressions and descriptions. The apparatus for processing documents includes a document collection unit, which collects documents from websites and divides each of the collected documents into a script portion and a description portion to thus generate a script document and a...

Multi-domain dialog systems often encounter user requests for out-of-domain (OOD) service. This paper focuses on detecting these requests. The proposed OOD detection method is included in a multi-domain detection component naturally. This component consists of multiple in-domain verifiers: an in-domain verifier accepts a user utterance when it belo...

This paper presents a new hybrid dialog management framework that integrates a statistical ranking algorithm into an example-based dialog management approach for chat-like dialogs. The proposed model uses ranking features that consider various aspects of dialogs, including the relative importance of speech acts, dialog history sequences, and the ca...

Although there have been enormous investments into English education all around the world, not many differences have been made to change the English instruction style. Considering the shortcomings for the current teaching-learning methodology, we have been investigating advanced computer-assisted language learning (CALL) systems. This paper aims at...

Word alignment is a crucial component in applications that use bilingual resources. Statistical methods are widely used because they are portable and allow simple system building. However, pure statistical methods often incorrectly align functional words in the English–Korean language pair due to differences in the typology of the languages and a l...

As the importance of learning foreign languages increases, the demand for language learning materials is increasing. A dialog system can be one of useful multimedia resources for language learning. Contrary to information-seeking dialog systems, ranking user/system dialog acts can be very useful for language tutoring purpose. Therefore we propose a...

The demand for computer-assisted language learning systems that can provide corrective feedback on language learners’ speaking has increased. However, it is not a trivial task to detect grammatical errors in oral conversations because of the unavoidable errors of automatic speech recognition systems. To provide corrective feedback, a novel method t...

This paper presents an automated method to generate realistic grammatical errors that can perform crucial functions for advanced technologies in computer-assisted language learning (CALL), including generating corrective feedback in dialog-based CALL (DB-CALL) systems, simulating a language learner to optimize tutoring strategies, and generating co...

This study introduces the educational assistant robots that we developed for foreign language learning and explores the effectiveness of robot-assisted language learning (RALL). To achieve this purpose, a course was designed in which students have meaningful interactions with intelligent robots in an immersive environment. A total of 24 elementary...

This study introduces the speech and language technologies used in the educational assistant robots that we developed for language learning and exploring the affective effects of robot-assisted language learning (RALL). To achieve this purpose, a course was designed in which students have meaningful interaction with intelligent robots in an immersi...

This study introduces the educational assistant robots that we developed for foreign language learning and explores the effectiveness of robot-assisted language learning (RALL) which is in its early stages. To achieve this purpose, a course was designed in which students have meaningful interactions with intelligent robots in an immersive environme...

This demonstration will illustrate an interactive immersive computer game, POMY, designed to help Korean speakers learn English. This system allows learners to exercise their visual and aural senses, receiving a full immersion experience to increase their memory and concentration abilities to a greatest extent. In POMY, learners can have free conve...

The demand for computer-assisted language learning systems that can provide corrective feedback on language learners' speaking has increased. However, it is not a trivial task to detect grammatical errors in oral conversations because of the unavoidable errors of automatic speech recognition systems. To provide corrective feedback, a novel method t...

Although there have been enormous investments into English education all around the world, not many differences have been made to change the English instruction style. Considering the shortcomings for the current teaching-learning methodology, we have been investigating advanced computer-assisted language learning (CALL) systems. This paper aims at...

One of the best effective way to learn a language is having a conversation with a native speaker. However it is often very expensive way. A good alternative way is using Dialog-Based Computer Assisted Language Learning (DB-CALL) systems. The feedback quality in DB-CALL systems is very important. Therefore, to provide various expressions as feedback...

In order to facilitate language acquisition, when language learners speak incomprehensible utterances, a Dialog-based Computer Assisted Language Learning (DB-CALL) system should provide matching fluent utterances by inferring the actual learner's intention both from the utterance itself and from the dialog context as human tutors do. We propose a h...

Many natural language dialog systems have been developed with relational database (RDB) as a machine-readable knowledge source. However, RDB has some problems for answering the questions which need complex domain-specific information. In addition to the typical problems of RDB such as dependency and redundancy problems, limitations of meaning repre...

This paper presents noisy-channel based Korean preprocessor system, which cor- rects word spacing and typographical errors. The proposed algorithm corrects both er- rors simultaneously. Using Eojeol transi- tion pattern dictionary and statistical data such as Eumjeol n-gram and Jaso transition probabilities, the algorithm minimizes the usage of hug...

Foreign language tutors have some conversation strategies to help learners to successfully finish a learning session. But these strategies are generally described by vague linguistic terms so that they cannot be easily transformed to a computational model. Therefore, this study presents a fuzzy logic-based method that considers learner's proficienc...