In this paper, we explore unsupervised techniques for the task of automatic short answer grading. We compare a number of knowledge-based and corpus-based measures of text similarity, evaluate the effect of domain and size on the corpus-based measures, and also introduce a novel technique to improve the performance of the system by integrating automatic feedback from the student answers. Overall, our system signiﬁcantly and consistently outperforms other unsupervised methods for short answer grading that have been proposed in the past. ...
In this work we address the task of computerassisted assessment of short student answers. We combine several graph alignment features with lexical semantic similarity measures using machine learning techniques and show that the student answers can be more accurately graded than if the semantic measures were used in isolation. We also present a ﬁrst attempt to align the dependency graphs of the student and the instructor answers in order to make use of a structural component in the automatic grading of student answers. ...
(BQ) Part 2 book "A short textbook of medical pharmacology" presents the following contents: Pharmacology of nervous system, cardiovascular system, introduction to chemotherapy, short answer questions, miscellaneous.
The final two sections are concerned with situations related more closely to educational or training
contexts. There is a conversation between up to four people, for example a conversation between a
tutor and a student about an assignment, and then a further monologue, for example a lecture of
general academic interest.
Automatic detection of general relations between short texts is a complex task that cannot be carried out only relying on language models and bag-of-words. Therefore, learning methods to exploit syntax and semantics are required. In this paper, we present a new kernel for the representation of shallow semantic information along with a comprehensive study on kernel methods for the exploitation of syntactic/semantic structures for short text pair categorization.
This paper presents a hybrid approach to question answering in the clinical domain that combines techniques from summarization and information retrieval. We tackle a frequently-occurring class of questions that takes the form “What is the best drug treatment for X?” Starting from an initial set of MEDLINE citations, our system ﬁrst identiﬁes the drugs under study. Abstracts are then clustered using semantic classes from the UMLS ontology. Finally, a short extractive summary is generated for each abstract to populate the clusters. ...
Action Plan for IELTS is a short, self-study guide for students about to take the IELTS test. The book is organised by paper and examines each question type in detail. It gives students a last-minute action plan, providing examples, mini practice tasks and strategies to maximise their band score in the test. Action Plan for IELTS is available for both the Academic and General Training module. The Academic module is suitable for students around Band 6+ and the General Training module for students around Band 5+....
Các câu hỏi thường gặp khi phỏng vấn xin việc bằng tiếng Anh
1. "Tell me a little about yourself." You should take this opportunity to show your communication skills by speaking clearly and concisely in an organized manner. Because there is no right or wrong answer for this question, it is important to appear friendly. Short Answers "I attended MIT where I majored in Electrical Engineering. My hobbies include basketball, reading novels, and hiking." "I grew up in Korea and studied accounting. I worked at an accounting firm for two years and I enjoy bicycling and jogging.
The new edition of Focus on IELTS not only prepares students for IELTS but also equips them with the tools they need to succeed in academic life.
Additional exam practice is available with the interactive iTests on this CD-ROM. The first complete and integrated IELTS preparation course, providing comprehensive exam skills development and graded practice. The Coursebook contains 20 short units organised into thematically linked pairs. The first unit in each pair focuses on reading and vocabulary, the second unit focuses on listening and writing skills.