We explore the task of automatically classifying dialogue acts in 1-on-1 online chat forums, an increasingly popular means of providing customer service. In particular, we investigate the effectiveness of various features and machine learners for this task. While a simple bag-of-words approach provides a solid baseline, we find that adding information from dialogue structure and inter-utterance...

If a dialog system can respond to a user as naturally as a human, the interaction will be smoother. In this research, we aim to develop a dialog system by emulating the human behavior in a chat-like dialog. In this paper, we developed a dialog system which could generate chat-like responses and their timing using a decision tree. The system could perform “collaborative completion,” “aizuchi” (b...

The existence of sexual predators that enter into chat rooms or forums and try to convince children to provide some sexual favour is a socially worrying issue. Manually monitoring these interactions is a way to attack this problem. However, this manual approach simply cannot keep pace because of the high number of conversations and the huge number of chatrooms or forums where these conversation...

The goal of this study was to predict the genders of players of the online game Second Life using linguistic patterns from their chat data. This was accomplished using a rich set of stylistic features combined with various machine learning models. This project builds upon a previous study done at Stanford’s Virtual Human Interaction Lab in which very few linguistic features were used. Results s...

Abstract This review provides an overview about the OpenAI system's natural language chat bot called ChatGPT. It focuses on preliminary assessment of its unique features, advantages, limitations, role in manuscript writing, value oncology, and future implications.

The design of Internet Relay Chat (IRC) affords for, and itself produces, non-response situations that are not possible in FTF or telephone interaction. These system-occasioned non-responses produce almost isomorphic stimuli to participant non-responses. Situations thus arise in which nonresponses are interpersonally accountable despite agentive ambiguity. This study explores four intersections...

The Copying Approach to Tabling, abbrv. CAT, is an alternative to SLG-WAM and based on total copying of the areas that SLG-WAM freezes to preserve execution states of suspended computations. The disadvantage of CAT as pointed out in a previous paper is that in the worst case, CAT must copy so much that it becomes arbitrarily worse than SLG-WAM. Remedies to this problem have been studied, but a ...

Abstract Across online support communities, community cohesion varies by platform and can impact the self-disclosure of members their exchanges social support. Through a comparative study forum chat-based mental health this research examines how technical features both platforms influence affecting communication patterns among members, including evenness communication, speed number participants...

Objective: The present study investigates the effect of Tiliacora triandra leaf extract on spatial learning, memory, and learning flexibility as well as hippocampal choline acetyltransferase (ChAT) activity in mice.  Materials and Methods: Thirty male ICR mice were randomly divided into three groups including 10% Tween 80, T. triandra 300 mg/kg and T. triandra 600 mg/kg. All administrations wer...