| Concept-based Chatbot for Interactive Query Refinement in Product Search. | 0 | 0.34 | 2021 |
| Relying on Discourse Trees to Extract Medical Ontologies from Text | 0 | 0.34 | 2021 |
| Framework for interaction between expert users and Machine Learning Systems. | 0 | 0.34 | 2019 |
| Validating Correctness of Textual Explanation with Complete Discourse Trees. | 0 | 0.34 | 2019 |
| Least General Generalization of the Linguistic Structures. | 0 | 0.34 | 2019 |
| On the End-to-End Argument Validation System based on Communicative Discourse Trees. | 0 | 0.34 | 2019 |
| On a Chatbot Conducting Virtual Dialogues | 0 | 0.34 | 2019 |
| Information Retrieval Chatbots Based on Conceptual Models. | 0 | 0.34 | 2019 |
| Message Validation Pipeline for Agents of the Internet of Everything. | 0 | 0.34 | 2018 |
| Matching parse thickets for open domain question answering. | 2 | 0.38 | 2017 |
| Improving relevance in a content pipeline via syntactic generalization. | 2 | 0.36 | 2017 |
| Chatbot with a Discourse Structure-Driven Dialogue Management. | 0 | 0.34 | 2017 |
| Providing personalized recommendation for attending events based on individual interest profiles. | 2 | 0.39 | 2016 |
| Generalization of parse trees for iterative taxonomy learning. | 1 | 0.35 | 2016 |
| A Tool for Efficient Content Compilation. | 0 | 0.34 | 2016 |
| Recognizing Documents versus Meta-Documents by Tree Kernel Learning | 1 | 0.35 | 2015 |
| Lattice Queries for Search and Data Exploration. | 1 | 0.35 | 2015 |
| Text Classification into Abstract Classes Based on Discourse Structure. | 1 | 0.34 | 2015 |
| Recognizing Intent and Trust of a Facebook Friend to Facilitate Autonomous Conversation. | 0 | 0.34 | 2015 |
| Pattern Structures for News Clustering. | 0 | 0.34 | 2015 |
| Finding a Lattice of Needles in a Haystack: Forming a Query from a Set of Items of Interest. | 0 | 0.34 | 2015 |
| Rhetoric Map Of An Answer To Compound Queries | 1 | 0.35 | 2015 |
| Evaluating Assistance to Individuals with Autism in Reasoning about Mental World. | 0 | 0.34 | 2015 |
| Learning parse structure of paragraphs and its applications in search. | 7 | 0.49 | 2014 |
| Extending Tree Kernels Towards Paragraphs. | 0 | 0.34 | 2014 |
| Pattern Structure Projections For Learning Discourse Structures | 2 | 0.36 | 2014 |
| Machine learning of syntactic parse trees for search and classification of text | 19 | 0.79 | 2013 |
| A web mining tool for assistance with creative writing | 0 | 0.34 | 2013 |
| Finding Maximal Common Sub-parse Thickets for Multi-sentence Search. | 1 | 0.39 | 2013 |
| Matching sets of parse trees for answering multi-sentence questions. | 8 | 0.52 | 2013 |
| Transfer learning of syntactic structures for building taxonomies for search engines | 7 | 0.52 | 2013 |
| A computational simulation tool for training autistic reasoning about mental attitudes | 0 | 0.34 | 2013 |
| Exhaustive simulation of consecutive mental states of human agents | 6 | 0.59 | 2013 |
| Inferring the semantic properties of sentences by mining syntactic parse trees | 13 | 0.57 | 2012 |
| Learning Adversarial Reasoning Patterns in Customer Complaints. | 0 | 0.34 | 2011 |
| Discovering Patterns of Autistic Planning. | 1 | 0.36 | 2011 |
| Learning Ontologies from the Web for Microtext Processing. | 0 | 0.34 | 2011 |
| Building Integrated Opinion Delivery Environment. | 2 | 0.36 | 2011 |
| Using generalization of syntactic parse trees for taxonomy capture on the web | 7 | 0.42 | 2011 |
| Concept-based learning of human behavior for customer relationship management | 22 | 1.78 | 2011 |
| Assessing plausibility of explanation and meta-explanation in inter-human conflicts | 3 | 0.42 | 2011 |
| Discovering common outcomes of agents' communicative actions in various domains | 5 | 0.45 | 2011 |
| From generalization of syntactic parse trees to conceptual graphs | 8 | 0.59 | 2010 |
| Inverting Semantic Structure Under Open Domain Opinion Mining | 0 | 0.34 | 2010 |
| Improving Relevancy Accessing Linked Opinion Data. | 0 | 0.34 | 2010 |
| Automation of social networks with QA agents | 4 | 0.43 | 2010 |
| Explanation Versus Meta-Explanation: What Makes a Case More Convincing | 0 | 0.34 | 2010 |
| Inversion of Forum Content Based on Authors' Sentiments on Product Usability. | 0 | 0.34 | 2009 |
| A novel approach for classifying customer complaints through graphs similarities in argumentative dialogues | 19 | 0.71 | 2009 |
| Scenario Argument Structure vs Individual Claim Defeasibility: What Is More Important for Validity Assessment? | 2 | 0.39 | 2008 |
